DSW: One-Shot Learning Scheme for Device-Free Acoustic Gesture Signals | IEEE Journals & Magazine | IEEE Xplore

DSW: One-Shot Learning Scheme for Device-Free Acoustic Gesture Signals


Abstract:

In this paper, we propose a Dynamic Speed Warping (DSW) algorithm to enable one-shot learning for device-free acoustic gesture signals performed by different users. The d...Show More

Abstract:

In this paper, we propose a Dynamic Speed Warping (DSW) algorithm to enable one-shot learning for device-free acoustic gesture signals performed by different users. The design of DSW is based on the observation that the gesture type is determined by the trajectory of hand components rather than the movement speed. By dynamically scaling the speed distribution and tracking the movement distance along the trajectory, DSW can effectively match gesture signals from different domains with a ten-fold difference in speeds. Our experimental results show that DSW can achieve a recognition accuracy of 97% for gestures performed by unknown users while only using one training sample of each gesture type from four training users.
Published in: IEEE Transactions on Mobile Computing ( Volume: 22, Issue: 9, 01 September 2023)
Page(s): 5198 - 5215
Date of Publication: 13 May 2022

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